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URN etd-0203112-174253 Statistics This thesis had been viewed 2082 times. Download 1267 times. Author Ye-Shang Chiang Author's Email Address No Public. Department Mechanical Engineering Year 2011 Semester 1 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 88 Title Water Channel Location Optimization of Injection Molding Using Glowworm Swarm Algorithm with Variable Step Keyword Variable Step Glowworm Swarm Algorithm Water Channel Location Optimization Water Channel Location Optimization Glowworm Swarm Algorithm Variable Step Abstract The cooling channel design for injection molding is important for quality control of product. But it is usually depends on the designer’s experiences or the process of trial-and-error to approach the design fitting the requirements of product through many trials. For high precision or complex product the designer may not find out the cooling channel layout fulfilling the design requirements
In recently years, the computer-aided engineering (CAE) has been generally applied in product development for various fields. It contributes for enhancing design ability of complicated and high precision product. The purpose of this study is to find out the optimal arrangement of cooling channels of injection molding by integration of the glowworm swarm algorithm for optimization search and the Moldflow software for injection molding analysis. In order to verify the architecture and performance of optimization program using Glowworm Swarm Optimization (GSO), several test functions are utilized to check the accuracy and execution efficiency of developed program. Then the developed GSO program was integrated with Moldflow software in optimization of cooling channel locations. From the results of case study, it was shown that the cooling channel design system implemented in this study could offer designer with different options in selection the arrangement of cooling channels for injection molding. The developed architecture can enhance the efficiency of cooling channel design, upgrade product quality, lower development cost and increase economic benefits.
Advisor Committee Chun-Yin Wu - advisor
Chien-Jong Shih - co-chair
Ching-Chih Tai - co-chair
Files Date of Defense 2011-01-12 Date of Submission 2012-02-06